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The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.

Download all SBIR.gov award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.

  1. AIVIS: Next Generation Vigilant Information Seeking Artificial Intelligence-based Clinical Decision Support for Sepsis

    SBC: HEALCISIO INC            Topic: NIAID

    Abstract Sepsis, a heterogeneous syndrome characterized by whole-body inflammation caused by the body's response to an infection, is the most expensive and deadly condition treated in hospitals, with over 270,000 cases of sepsis-related deaths in the U.S. alone. The cornerstones of optimal sepsis care are early recognition accompanied by appropriate antimicrobial therapy, and use of evidence-based ...

    STTR Phase I 2023 Department of Health and Human ServicesNational Institutes of Health
  2. Heteroduplex thermostable ligation assembly: a new platform to rapidly generate large DNA molecules

    SBC: CHESAPEAKE GENOMIC SYSTEMS, LLC            Topic: 400

    In vitro assembly of DNA fragments andgt;20 kb has recently identified as a critical technical challenge for writing synthetic genomes. Meeting this challenge will increase the efficiency of genome writing projects that depend on large synthetic DNAs, which are iteratively recombined to replace chromosome regions in a step-wise manner to partially or completely re-write bacterial or yeast chromoso ...

    STTR Phase I 2021 Department of Health and Human ServicesNational Institutes of Health
  3. Bounding generalization risk for Deep Neural Networks

    SBC: EULER SCIENTIFIC            Topic: NGA20A001

    Deep Neural Networks have become ubiquitous in the modern analysis of voluminous datasets with geometric symmetries. In the field of Particle Physics, experiments such as DUNE require the detection of particle signatures interacting within the detector, with analyses of over a billion 3D event images per channel each year; with typical setups containing over 150,000 different channels.  In an ...

    STTR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  4. Bounding generalization risk for Deep Neural Networks

    SBC: EULER SCIENTIFIC            Topic: NGA20A001

    Deep Convolutional Neural Networks (DCNNs) have become ubiquitous in the analysis of large datasets with geometric symmetries. These datasets are common in medicine, science, intelligence, autonomous driving and industry. While analysis based on DCNNs have proven powerful, uncertainty estimation for such analyses has required sophisticated empirical studies. This has negatively impacted the effect ...

    STTR Phase II 2022 Department of DefenseNational Geospatial-Intelligence Agency
  5. High-throughput Single Cell Co-assay of Histone Modifications and Transcriptome

    SBC: EPIGENOME TECHNOLOGIES, INC.            Topic: 400

    AbstractEpigenome analysis can help dissect the transcriptional regulatory sequences that control spatiotemporal patterns of gene expression during anima development and disease pathogenesis, but a major challenge to epigenome analysis is the heterogeneity of primary tissues. Conventional epigenome assays that take bulk tissues as input only produce population average signals. To address this majo ...

    STTR Phase I 2021 Department of Health and Human ServicesNational Institutes of Health
  6. Broadly Accessible Technologies for Single-cell Joint Analysis of Transcriptome and Epigenome

    SBC: EPIGENOME TECHNOLOGIES, INC.            Topic: 101

    AbstractHistone modifications carry rich information of cellular memory and gene regulatory mechanisms. Single cell analysis of histone modification in conjunction with transcriptome could recover this critical layer of cell identity and help to dissect the cellular and molecular composition of complex tissues such as the brain. We recently developed an ultra-high throughput single cell multi-omic ...

    STTR Phase I 2022 Department of Health and Human ServicesNational Institutes of Health
  7. Development of iCrystal System for Rapid Crystallization of Biological Macromolecules

    SBC: JUXTOPIA, LLC            Topic: 100

    DESCRIPTION provided by applicant Biological macromolecules are the machinery of life and understanding their function helps scientists to develop new drug treatments that target specific human diseases In this regard crystallization is routinely employed for the understanding of the molecular structures and the interactions of proteins with other biological and non biological materials Desp ...

    STTR Phase I 2015 Department of Health and Human ServicesNational Institutes of Health
  8. C/EBP-beta PEPTIDES FOR THE TREATMENT OF LIVER INJURY AND FIBROSIS

    SBC: XFIBRA, INC.            Topic: NIDDK

    DESCRIPTION (provided by applicant): Activation of hepatic stellate cells (HSC) is responsible for the development of liver fibrosis in chronic liver diseases of all causes and remarkably, HSC clearance by apoptosis may allow recovery from liver injury andreversal of liver fibrosis. There is full agreement among liver fibrosis experts that inhibiting o reversing HS activation (the therapeutic targ ...

    STTR Phase I 2013 Department of Health and Human ServicesNational Institutes of Health
  9. C/EBP-beta PEPTIDES FOR THE TREATMENT OF LUNG INJURY AND FIBROSIS

    SBC: XFIBRA, INC.            Topic: NHLBI

    DESCRIPTION (provided by applicant): Activation of lung myofibroblasts (LMF) is responsible for the development of lung fibrosis in chronic lung diseases of all causes and remarkably, LMF clearance by apoptosis may prevent development of lung fibrosis andlung injury, and possibly allow recovery from reversal of lung fibrosis. There is full agreement among tissue fibrosis experts that inhibiting o ...

    STTR Phase I 2014 Department of Health and Human ServicesNational Institutes of Health
  10. Targeting C/EBP-beta Phosphorylation for the Treatment of Lung Fibrosis

    SBC: XFIBRA, INC.            Topic: NHLBI

    DESCRIPTION provided by applicant Activation of lung myofibroblasts LMF is responsible for the development of lung fibrosis in chronic lung diseases of all causes and remarkably LMF clearance by apoptosis may prevent development of lung fibrosis and lung injury and possibly allow recovery from reversal of lung fibrosis There is full agreement among tissue fibrosis experts that inhibiting o ...

    STTR Phase I 2015 Department of Health and Human ServicesNational Institutes of Health
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